Review and Evaluation of Fingerprint Singular Point Detection Algorithms
نویسنده
چکیده
Fingerprint has continued to enjoy dominance over other biometrics like face, iris, nose, signature among others in human verification and authentication. This is promoted by its major characteristics which include availability, uniqueness, consistency and reliability. Fingerprint verification and authentication involves the serial stages of enrolment, processing and matching. Enrolment through a number of fingerprint capturing devices helps to read the fingerprint into a target location from where processing takes place. Processing of a fingerprint image involves enhancement, feature extraction and singular point detection. Matching of fingerprint is performed based on the extraction results to establish its source or similarity level. The extraction of true singular (core and delta) and feature points is paramount for a true fingerprint matching and a number of algorithms had been formulated to accomplish it. This paper presents a review and evaluation of commonly known fingerprint singular point detection algorithms with emphasis on methodologies, strengths and weaknesses.
منابع مشابه
Singular Point Detection in Fingerprint Image
Singular point detection is an important task in many Automatic Fingerprint Identification Systems (AFIS). There already exists many singular point detection algorithms, Most of them can efficiently detect the core point when the image quality is fine, but when the image quality is poor, the efficient of the algorithm degrades rapidly. In this paper, we present a new singular point detecting al...
متن کاملA Survey on Singular Points Detection Technique
Fingerprint classification is an important task for any large scale fingerprint recognition system. The high precision of detecting core point is crucial for most fingerprint classification operations. This paper provides an overview of the most well-known techniques for singular points detection fingerprint classification based on these singularities. The main purpose of singular points detect...
متن کاملFingerprint Singular Point Detection via Quantization and Fingerprint Classification
This paper aims to present a fingerprint singular point detection algorithm and a rule-based fingerprint classification method. The singular point detection algorithm uses a quantization approach on the orientation field of the fingerprint image and seeks to locate the core and delta points via the changes of the gray levels around a 2x2 window. It has been found that with the application of an...
متن کاملAn Adaptive Approach to Singular Point Detection in Fingerprint Images
This paper presents a novel algorithm for detection of singular points, the core and delta points, in fingerprint images. The number and location of singular points, are used to classify fingerprint images in to five general groups; and therefore to narrow down the search space in large fingerprint databases. Using the proposed directional masks in the first step, detects the neighborhood of th...
متن کاملDetection of Singularities in Fingerprint Images using Linear Phase Portraits
The performance of fingerprint recognition is heavily depending on the reliable extraction of singularities. Common algorithms are based on a PoincáreIndex estimation. These algorithms are only robust when certain heuristics and rules are applied. In this paper we present a model based approach for the detection of singular points. The presented method exploits the geometric nature of linear di...
متن کامل